code: def dynamo_accuracy_minifier_backend(
      gm, example_inputs, compiler_name
  ):
      from functorch.compile import minifier
  
      compiler_fn = lookup_backend(compiler_name)
  
      # Set the eval mode to remove randomness.
      gm.eval()
  
      # Check Accuracy
      if backend_accuracy_fails(
          gm,
          example_inputs,
          compiler_fn,
          only_fwd=config.repro_forward_only,
      ):
          log.warning(
              "Accuracy failed for the TorchDynamo produced graph"
          )
          dump_state_fn = functools.partial(
              dump_backend_state,
              compiler_name=compiler_name,
              check_accuracy=True,
          )
          fails_fn = functools.partial(
              backend_accuracy_fails,
              compiler_fn=compiler_fn,
              only_fwd=config.repro_forward_only,
          )
          dump_state_fn(
              fx.GraphModule(gm, copy.deepcopy(gm.graph)),
              example_inputs,
          )
          minifier(
              gm,
              example_inputs,
              module_fails=fails_fn,
              dump_state=dump_state_fn,
          )
      else:
          log.error("Input graph does not fail accuracy testing")
      return gm
  
imports: import argparse
  import copy
  import functools
  import logging
  import os
  import shutil
  import sys
  import textwrap
  from importlib import import_module
  from typing import Union
  import torch
  import torch.fx
  from torch._dynamo.debug_utils import AccuracyError, backend_accuracy_fails, BUCK_CMD_PREFIX, BuckTargetWriter, extra_imports, generate_config_string, helper_for_dump_minify, InputReader, InputWriter, minifier_dir, NNModuleToString, NopInputReader, run_fwd_maybe_bwd, same_two_models
  from torch.fx.experimental.symbolic_shapes import fx_placeholder_targets
  from torch.hub import tqdm
  from ..None import config
  from ..backends.registry import lookup_backend, register_debug_backend
  from ..debug_utils import clone_inputs_retaining_gradness
label_desc: Use image node_id 7 for calling a global function with example usage: dynamo_accuracy_minifier_backend(gm, example_inputs, compiler_name) and returns: gm